Senior Embedded Machine Learning Engineer

Senior Embedded Machine Learning Engineer

Responsibilities

• As an Embedded ML Engineer, you will work closely with our Device, Imaging, and ML Modeling teams to develop the software that runs ML on our fast growing fleet of deployed devices.
• You will help lead the design, development, testing, and productionization of our embedded models and its surrounding applications to help determine hardware requirements, extend the evidence we can capture, and improve the quality and speed the evidence we deliver to our customers.
• Design and develop highly performant video processing pipeline applications, running multiple ML models.
• Profiling embedded ML applications to discover areas of optimization.
• Writing computer vision operations to work on accelerators (GPU or DSP).
• Developing methods to amortize expensive computer vision and machine learning algorithms over video streams.
• Design and develop testing software to evaluate product capabilities and requirements.
• Test model performance on various accelerators and SoMs.

Qualifications

• 6+ years C/C++ experience.
• Experience in one or more of the following:
• Deep Learning/Computer Vision.
• Basic git knowledge.
• Android SDK/NDK.
• OpenGL/Vulkan/CUDA.
• OpenCV.
• Image/Video process (Color/Depth Conversion, Scaling/Translating, etc.).
• Able to take on complex problems, learn quickly, iterate, and persist towards a good solution.
• Effectively communicate, at the level of your audience, and seek to understand and be understood.

Benefits

• Salary & Equity: In this role, you’ll receive a starting salary of $170,000-$195,000 as well as stock options.
• Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
• Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
• Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers.
• Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family.
• Mental Health: All employees receive an annual subscription to Headspace.
• WFH Stipend: $150 per month to cover the costs of working from home.
• L&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
• Home Office Stipend: A one-time $750 to help you create your dream office.
• Coworking Space: If you’re not local to our ATL HQ, we’ll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area).